At AWS re:Invent in the present day, Amazon introduced updates to its generative AI assistant for software program builders, Amazon Q Developer.
There are three new brokers that automate unit testing, documentation, and code evaluations. Builders could make it generate a take a look at by typing “/take a look at” within the chat window or highlighting a particular block of code to check. It makes use of its general information of the challenge to generate the mandatory exams for the code.
Equally, builders can now sort “/doc” within the chat window to get the assistant to mechanically generate documentation and replace README information. Builders may ask questions on how their code works or ask it to enhance current documentation.
And eventually, typing “/evaluation” will make Amazon Q flag suspicious code patterns, establish open supply bundle dangers, and assess the affect of modifications. They will additionally use “/q evaluation” in GitLab Duo to have Amazon Q evaluation their merge requests.
RELATED: AI brokers are reworking the software program growth life cycle
Past these three new brokers, Amazon additionally introduced that the instrument can now make solutions about operational points in a buyer’s AWS surroundings, primarily based on its understanding of the relationships between AWS assets, corresponding to these in Amazon CloudWatch, AWS CloudTrail, AWS Well being, and AWS X-Ray.
“It may rapidly sift by means of tons of of hundreds of information factors to find relationships between companies and develop an understanding of how they work collectively to establish anomalies throughout associated alerts. After analyzing its findings, Amazon Q presents customers with potential hypotheses for the foundation explanation for the difficulty and guides customers by means of repair it—a mix of capabilities that no different main cloud supplier presents,” Amazon wrote in an announcement.
The corporate additionally made basic enhancements to Amazon Q Developer’s means to modernize legacy workloads, corresponding to enhancing the velocity of .NET modernization, reworking VMware workloads, and accelerating mainframe modernization.
“We’re combining Amazon Q Developer with our almost 20 years of expertise serving to organizations migrate and modernize their legacy workloads on AWS to speed up and simplify large-scale transformations,” mentioned Mai-Lan Tomsen Bukovec, vice chairman of know-how at AWS. “It is a game-changer for purchasers and companions trying to transfer off of Home windows .NET, VMware, and mainframes. Now, Amazon Q considerably hurries up utility transformation initiatives with brokers that may autonomously full a number of the most labor-intensive duties, corresponding to analyzing, planning, code era, and testing, saving prospects money and time, and serving to them notice the complete worth of the cloud.”
